The Role

As a Data Scientist at Kyndryl you are the bridge between business problems and innovative solutions, using a powerful blend of well-defined methodologies, statistics, mathematics, domain expertise, consulting, and software engineering. You'll wear many hats, and each day will present a new puzzle to solve, a new challenge to conquer.

You will dive deep into the heart of our business, understanding its objectives and requirements – viewing them through the lens of business acumen, and converting this knowledge into a data problem. You'll collect and explore data, seeking underlying patterns and initial insights that will guide the creation of hypotheses.

In this role, you will embark on a transformative process of business understanding, data understanding, and data preparation. Utilizing statistical and mathematical modeling techniques, you'll have the opportunity to create models that defy convention – models that hold the key to solving intricate business challenges. With an acute eye for accuracy and generalization, you'll evaluate these models to ensure they not only solve business problems but do so optimally.

Additionally, you're not just building and validating models – you're deploying them as code to applications and processes, ensuring that the model(s) you've selected sustains its business value throughout its lifecycle.

Your expertise doesn't stop at data; you'll become intimately familiar with our business processes and have the ability to navigate their complexities, identifying issues and crafting solutions that drive meaningful change in these domains. You will develop and apply standards and policies that protect our organization's most valuable asset – ensuring that data is secure, private, accurate, available, and, most importantly, usable. Your mastery extends to data management, migration, strategy, change management, and policy and regulation.

If you're ready to embrace the power of data to transform our business and embark on an epic data adventure, then join us at Kyndryl. Together, let's redefine what's possible and unleash your potential.

Your Future at Kyndryl

Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won't find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.

Who You Are

Who You Are

You're good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you're open and borderless – naturally inclusive in how you work with others.

Required Skills and Experience

5+ years of AI and Data consulting experience, or other relevant experience in AI & Analytics domain, with a proven track record of building and maintaining client relationships
Collaborate with customers and account partners to identify new AI opportunities, and build proposals and pitch materials to position Kyndryl as a trusted partner for AI & Data transformation
Organize and lead educational and ideation AI and Generative AI workshops for customers
Understand customer's needs and assess their AI maturity
Evaluate and recommend appropriate AI frameworks, tools and platforms
Lead AI feasibility studies and PoC projects to demonstrate the value and viability of AI solutions
Collaborate with AI architects and engineers to design and develop AI and Generative AI solutions tailored to the clients requirements
Lead integration and deployment of AI solutions into customers existing infrastructure
Stay updated with the latest advancements in AI and Generative AI technologies, trends and best practices and develop thought leadership and PoV on AI
Work with cross-functional team and partners to develop/ enhance and package AI offerings and assets for customer-facing discussions
In-depth understanding of AI technologies, including machine learning, deep learning, and generative AI techniques (such as generative adversial networks (GANs), variational autoencoders (VAEs), etc.)
Good knowledge of AI frameworks, tools, and platform such as TensorFlow, PyTorch
Experience working with customers in different industries and understanding their specific challenges and requirements

Preferred Skills and Experience

Bachelor's degree in computer science, Information Security, or a related field
Skilled in planning, organization, analytics, and problem-solving.
Excellent communication and interpersonal skills to work collaboratively with clients and team members.
Comfortable working with statistics.
Advanced skills in PowerPoint and Excel.
Strong Business acumen and understanding of industry trends and challenges in AI and Generative AI .
Strong leadership skills and proactive and self-driven attitude.
Advanced communication and storytelling skills.
Highly adaptable and flexible through shifting priorities.

Gen AI Data Scientist